Job Description
ABOUT THE ROLE
The Personalization team at Peloton is looking for a machine learning engineer to drive personalization and recommendations for our highly engaged members across multiple platforms. Their main focus will be to optimize the engagement and discovery of Peloton content through research and application of AI and ML techniques for content recommendations. They will work closely with ML Engineers, Software Engineers, Product Managers, and Product Analysts to test ideas that drive member engagement. They will have a unique opportunity to work with one of the most granular data related to member engagement in the fitness industry. We’re looking for someone who’s passionate about fitness and is excited about the challenges of AI and machine learning to define the future of connected fitness.
YOUR DAILY IMPACT AT PELOTON
Build and improve ML pipelines that power Peloton’s content recommendations.
Research and apply outstanding machine learning techniques for recommender systems.
Evaluate, implement, and improve machine learning models.
Run A/B tests and experiments and analyze the results in collaboration with our product analysts.
Productionize, deploy and monitor machine learning models and services.
Collaborate and work closely with our platform teams to use their tools and infrastructure to rapidly iterate on ideas that drive delightful personalized experiences for millions of users.
YOU BRING TO PELOTON
Degree in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
2+ years of experience working in at least one of the following ML subject areas: recommender systems, natural language processing, or computer vision.
Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
Experience writing code in Python, Java, Kotlin, Go, C/C++ with documentation for reproducibility.
Experience with relational and non-relational databases such as Postgres, MySQL, Cassandra, or DynamoDB.
Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.
MS/PhD in highly quantitative fields including Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.
Comfortable working with near real-time ML applications.
Consistent track record of working with product managers to launch ML-based product features.
ABOUT PELOTON:
Peloton (NASDAQ: PTON) provides Members with expert instruction, and world-class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit
Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law.
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